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Data Modeling with Snowflake

You're reading from  Data Modeling with Snowflake

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837634453
Pages 324 pages
Edition 1st Edition
Languages
Author (1):
Serge Gershkovich Serge Gershkovich
Profile icon Serge Gershkovich

Table of Contents (24) Chapters

Preface 1. Part 1: Core Concepts in Data Modeling and Snowflake Architecture
2. Chapter 1: Unlocking the Power of Modeling 3. Chapter 2: An Introduction to the Four Modeling Types 4. Chapter 3: Mastering Snowflake’s Architecture 5. Chapter 4: Mastering Snowflake Objects 6. Chapter 5: Speaking Modeling through Snowflake Objects 7. Chapter 6: Seeing Snowflake’s Architecture through Modeling Notation 8. Part 2: Applied Modeling from Idea to Deployment
9. Chapter 7: Putting Conceptual Modeling into Practice 10. Chapter 8: Putting Logical Modeling into Practice 11. Chapter 9: Database Normalization 12. Chapter 10: Database Naming and Structure 13. Chapter 11: Putting Physical Modeling into Practice 14. Part 3: Solving Real-World Problems with Transformational Modeling
15. Chapter 12: Putting Transformational Modeling into Practice 16. Chapter 13: Modeling Slowly Changing Dimensions 17. Chapter 14: Modeling Facts for Rapid Analysis 18. Chapter 15: Modeling Semi-Structured Data 19. Chapter 16: Modeling Hierarchies 20. Chapter 17: Scaling Data Models through Modern Techniques 21. Index 22. Other Books You May Enjoy Appendix

Summary

There is no escaping modeling. We use it in our everyday lives to plan and navigate the complexities of the world around us—databases are no exception. For some readers, the modeling styles presented in this chapter may be a new way of conceptualizing their database landscape, while others may be getting reacquainted with its notation and use cases. Whether thinking about a company business model or sharing a finalized design with team members, we all engage in modeling to varying degrees.

Embracing database modeling and learning to speak in a commonly understood language unlocks many time-saving and collaborative benefits for the entire organization. Thinking long-term and modeling strategically, as opposed to reacting tactically, aligns database designs to the business that they underpin, ensuring their viability. Having seen the advantages that modeling uncovers and where it can be implemented, we can begin to analyze its components to understand precisely where they should be used and how they form a natural design progression.

In the next chapter, we will explore the four modeling types used in database design and discuss where they excel and how they build on one another to help take an idea and evolve it into a technical system design while generating living project artifacts to navigate and maintain the final product.

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Data Modeling with Snowflake
Published in: May 2023 Publisher: Packt ISBN-13: 9781837634453
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